{"time":1711027851932,"blocks":[{"id":"Bk9FRYGvfo","type":"paragraph","data":{"text":"Pandas — это библиотека на Python, предназначенная для обработки и анализа структурированных табличных данных. С её помощью можно фильтровать, сортировать, агрегировать и преобразовывать данные, а также интегрироваться с различными источниками для чтения и записи. Благодаря такому богатому функционалу, эффективности и удобству использования, Pandas — один из наиболее популярных инструментов в области анализа данных."}},{"id":"8Ay8N9t3c2","type":"paragraph","data":{"text":"Руководитель группы видеоаналитики MTS AI Андрей Дугин рассказывает, как начать работу с Pandas и избежать распространённых ошибок."}},{"id":"SEkAF1ZHrK","type":"expertLegacy","data":{"id":"1800","name":"Андрей Дугин","description":"Руководитель группы видеоаналитики MTS AI","avatar":"https://media.tproger.ru/uploads/2023/10/photo_2023-10-05-11.18.30.jpeg"}},{"id":"OIk4LS5fGU","type":"header2","data":{"text":"Где и для чего применяется Pandas","level":2},"tunes":{}},{"id":"7n06KucGcd","type":"paragraph","data":{"text":"Pandas скорее академический исследовательский инструмент: для промышленных масштабов производительность у библиотеки относительно низкая, управление памятью не самое эффективное и нет параллелизма. Тем не менее, библиотека отлично подходит дата-сайентистам и аналитикам для прототипирования и исследования гипотез в нересурснозатратных проектах. Её можно применить практически в любой области, где требуется обработка и анализ табличных данных или временных рядов:"}},{"id":"kJnfzOGnqT","type":"list","data":{"style":"unordered","items":["Предиктивная аналитика для агрегаторов. Например, на сайтах недвижимости. Pandas поможет структурировать массив данных по квартирам: этаж, площадь, количество комнат, год постройки дома и так далее. На этих данных можно строить модели машинного обучения и предсказывать, сколько будет стоить недвижимость.","Финансовый анализ. Pandas пригодится для анализа динамики цен акций, котировок валют, индексов и так далее. Это помогает при прогнозировании рыночных трендов, определении рисков и оценке инвестиционных стратегий.","Маркетинговый анализ. Проанализировав с помощью Pandas данные о продажах, потребительском поведении, рекламных кампаниях можно определять оптимальные стратегии маркетинга.","Исследования в области биоинформатики. Pandas помогает анализировать и обрабатывать биологические данные для выявления закономерностей, например, в болезнях.","Обработка данных сенсоров и IoT. С помощью Pandas можно обрабатывать и анализировать данные сенсоров, полученных от устройств IoT, чтобы управлять системами, мониторить и диагностировать их."]}},{"id":"MxGGjp3oEz","type":"paragraph","data":{"text":"Рассмотрим некоторые базовые приёмы работы с Pandas на основе классического датасета Titanic. Его используют студенты, изучающие машинное обучение, для предсказания шансов пассажиров на выживание в зависимости от их пола, возраста, класса каюты и других факторов. Подробнее почитать о значении полей можно в описании датасета на Kaggle."}},{"id":"nstbZ1nRg8","type":"header2","data":{"text":"Начало работы с Pandas","level":2},"tunes":{}},{"id":"4NFAIl4bk1","type":"paragraph","data":{"text":"DISCLAIMER"}},{"id":"4PvIHiDPpU","type":"list","data":{"style":"unordered","items":["Поскольку примеры кода и вывод выполняются в Jupyter Notebook, то для отображения результата нам не обязательно оборачивать выражения в функцию print(), однако это может понадобиться в других IDE.","По этой же причине при демонстрации мы иногда не модифицируем исходные данные (не делаем присваивание A = B, а показываем только правую часть выражения; используем inplace=False), а просто выводим результат."]}},{"id":"w8z-AteY7f","type":"header3","data":{"text":"Установка и импорт","level":3},"tunes":{}},{"id":"g5zJ9gMPyT","type":"paragraph","data":{"text":"Pandas легко установить через стандартный пакетный менеджер Python, используя команду pip install pandas."}},{"id":"mm0JqByKr6","type":"paragraph","data":{"text":"После установки следует импортировать саму библиотеку. Поскольку Pandas строится на базе библиотеки NumPy — инструментария для работы с многомерными массивами — для удобства рекомендуется импортировать и её. Она также будет установлена автоматически в процессе установки Pandas."}},{"id":"lRJ5SfP-ZT","type":"code","data":{"code":"import numpy as np\nimport pandas as pd","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"hG6HQBF2U2","type":"header3","data":{"text":"Структуры хранения данных","level":3},"tunes":{}},{"id":"Q2E2avFqA1","type":"paragraph","data":{"text":"Данные организованы в структурированные таблицы с индексами, что облегчает манипуляции с ними. Операции в Pandas оптимизированы для работы по столбцам — так во многих случаях производительность выше, чем в операциях по строкам."}},{"id":"OFGno8Kw7I","type":"paragraph","data":{"text":"Структур хранения данных в Pandas две — Series и DataFrame."}},{"id":"mdPiprM3Fp","type":"list","data":{"style":"unordered","items":["Series — это одномерный массив данных с метками. Он может хранить различные типы данных, включая числа, строки и произвольные объекты Python. Каждому элементу в Series соответствует метка, доступ к которой можно получить через атрибут index."]}},{"id":"vbQKoXSUkK","type":"code","data":{"code":"series = pd.Series([1, 2, 3], index=[\"a\", \"b\", \"c\"], dtype=np.uint8)\nseries","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"FP3wr9Prkd","type":"image","data":{"alt":"","title":"","caption":"Здесь и далее будет приводиться вывод в Jupyter Notebook","file":{"id":17198,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/1f5ef405-5abb-44e6-98ad-6a67046e4416.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":877,"height":89,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/1f5ef405-5abb-44e6-98ad-6a67046e4416.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 1","dimensions":{"width":877,"height":89},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/p-k-SG96LiYiYEuuMHrOnVo8S_ZCF7JjZfJDylWQPQ0/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/47tj8m6GlDaSprGgikq1BePvxVzGydQmDBu1viQ716M/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/ETuvZ-d953Q-EXTm4HTDdMIYHK2-4THXOzDKS_l1998/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/Hmdu7Gp-mgSrnTCBe3TZ0ZllRDjFoeqZkNHFO5h0cJ0/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/SHPiCf0WgcWai-Fsv_dv4k-L4UaGj6obFtlCxb2Itho/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/Zt5I3E6Qjg3nEpuckfuAlrwDHNoI5_Y9PgHm-O5vqTI/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/cSNpTt1QipEDWjSnhQneUWaCukYPIjgXrty-Hh6EPPs/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/V6L_CsyNpXVaaWS8IpTO6qVnK6MNmTbZ-eJXKjY2FMM/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzFmNWVmNDA1LTVhYmItNDRlNi05OGFkLTZhNjcwNDZlNDQxNi5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"JcfFKstKz6","type":"code","data":{"code":"series.index","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"N2q3-To-U5","type":"image","data":{"alt":"","title":"","caption":"
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Получаем доступ по метке, как по ключу в словаре","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"eaehCk9ywC","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17201,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/f7917a52-b08a-44fa-8e98-2e1d592c241e.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":877,"height":38,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/f7917a52-b08a-44fa-8e98-2e1d592c241e.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 3","dimensions":{"width":877,"height":38},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/u9n03AYIjCwLAbRMVIaA-FBTX0ZnmN-7qv0pphMA7Ek/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/X8LFgbTgpk7yNJWdqkNL8KLNaxFEcjQpawkyhVUyskA/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/CQWf1yp72Aqu7mifVN2PlWHHrUmsgVOXqtT_rCN9V9s/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/0XDfdREeScQBJnviuMV6xSpPBTLW8bPmwower16gno0/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/I7IDwFwizvfQH02p1QW48GzXKswXETm1WxVD9wRzss0/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/aZDuZ3yDAZN9jLdNNYraeIoCjap1xZ848aX54vycXaY/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/lf_FxMnRHaI2yzA-kCfCJPcGseeNKSSinh3KM29ACIo/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/AAgTrb1ixHeT4MAbxM5fUIsf44Bjj8hfOWv51JaYqoc/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y3OTE3YTUyLWIwOGEtNDRmYS04ZTk4LTJlMWQ1OTJjMjQxZS5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"giDQ5eRleA","type":"list","data":{"style":"unordered","items":["DataFrame — это двумерная структура данных, представляющая собой таблицу с метками для строк и столбцов. Каждый столбец в DataFrame является объектом типа Series. Вместе они формируют двумерную таблицу с общим индексом. В DataFrame присутствуют две оси индексации: index для строк и columns для столбцов. 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Колонка — это объект Series","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"nEYsp9_jqC","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17203,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/f8a22fa6-f280-457c-a344-046be9f2dec5.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":874,"height":93,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/f8a22fa6-f280-457c-a344-046be9f2dec5.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 5","dimensions":{"width":874,"height":93},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/cX3N18Z0bpdti9rGj86iTA89cye6Aa1zr-yYsKVdMaA/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/KpQbP7N17m804PlnR6IjPmI5CwXMhuH0UPzR9A2kmIk/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/UnEx-9HGz5So6VxRWoYNUV5FO_KHE7ilS6emrvcUh80/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/cDe0ORnl24JynUcx_jmT7RIm_22Cb6pmMqhkA74J5S8/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/-r0ZxFKAg3e0OFuJAmNlgIp2oHYuzhchIjaViSwOmqo/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/NZoL5JjRsvG-8wQt7szfWa5svsnIru0t0J0rdpQCEoY/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/8VowoW2yxXYmxKMiFxf8XlHMiYBM9yG8BVb9kCGKAHg/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/YZmEyhHdcIL0_wqXjnUOXABm2Um7H0fMnrPbVIq5Rys/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2Y4YTIyZmE2LWYyODAtNDU3Yy1hMzQ0LTA0NmJlOWYyZGVjNS5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"Ljmsi70dqr","type":"code","data":{"code":"dataframe[\"Name\"].name # У объекта Series есть собственное имя","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"HLaJKNQIlc","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17204,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/3497e7c4-e212-4bfd-acbf-44970f0605f2.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":874,"height":34,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/3497e7c4-e212-4bfd-acbf-44970f0605f2.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 6","dimensions":{"width":874,"height":34},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/uoHZNSHyilbWS4J4RV0SQa7qvJJT34Ecg3e-qRX4WkY/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/Xfutw9k_ZYWWFMDxCMj1rnIIS-pTB6fDcde20yYEm7Y/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/X3rKN7hLhXuToBaAicmw_YJtqOidIVlxJE_c7jgQt80/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/4K_BKX_POBV4Zakjb6dHzhPmjr15RgOm6Ifoaz8hqE4/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/B16Arlhqleff1kc9rLj_WulXhB0TbuyMrO4QjA9cWH8/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/JkjaZ7dcqcPbpITLcYJzzRmVMyp0eL9YQL8ELPEvIKM/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/R_1vlr8sg3kXvaR-EmiBrb3LKi_PWLcDCYpXJXWcOlU/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/jEmCAJTL8GnBG14mq8C7q2miD15BF4XcgzxczZsF8ME/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzM0OTdlN2M0LWUyMTItNGJmZC1hY2JmLTQ0OTcwZjA2MDVmMi5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"tgIk5NhsGq","type":"header3","data":{"text":"Операции чтения и записи данных","level":3},"tunes":{}},{"id":"ZmypWycHPj","type":"paragraph","data":{"text":"С помощью Pandas можно читать и записывать данные из различных источников: баз данных, файлов в форматах CSV, Excel, JSON и тому подобных. Для каждого типа данных существуют специализированные функции: read_csv(), read_excel() и другие вида read_*()."}},{"id":"zt4WPdkQHo","type":"code","data":{"code":"titanic = pd.read_csv(\"titanic.csv\")\ntitanic.head()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"a8_GctiRiY","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17205,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/8864e30e-9305-43d0-8834-c0c715020328.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1207,"height":211,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/8864e30e-9305-43d0-8834-c0c715020328.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 7","dimensions":{"width":1207,"height":211},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/agp9Zv6B_YgYdO8Aied1ROa9-ajzzycw2lWnl4FwvgU/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/iZkaolhDz2swcsTG1V5xbP2uL3fxwpjlWYELQ-0T_9Q/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/FjQy6q5DVKS2WXcRkEqNl9XHYYoL35ITZPqvjlAG4k8/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/RDvsQZ35wtSI0D-hvbTfX60dT42HjnChJ4VrY1ksO5k/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/REDXyuB3uS0bqgTrTmibeyaQwX0XYq_QPXDvaOP8A7s/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/rJVqjG9fsoriQUsKwcQwKvydbuRNwv4ZKTFmlbOowtk/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/XGbI734QwofojDILc7RNvjYZjXt0u7g6mCgrMlJbtas/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/EwBnbsNj597HZXQPvP-jeEO2hbGsZlEXAymJPHQlkkE/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzg4NjRlMzBlLTkzMDUtNDNkMC04ODM0LWMwYzcxNTAyMDMyOC5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"i0tB6vPGjc","type":"paragraph","data":{"text":"Можно даже автоматически спарсить таблицу из веб-страницы, указав URL и порядковый номер таблицы:"}},{"id":"bcaUa4BHg9","type":"code","data":{"code":"from urllib.parse import quote\nurl = quote(\"https://ru.wikipedia.org/wiki/Таблица\", safe=\":/\") # Кодируем кириллицу\npd.read_html(url)[0] # Берём первую таблицу из списка всех найденных на веб-странице","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"s-oMUj40hH","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17206,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/b1196ed8-168a-45a9-bd6f-916ada1f7e1a.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1109,"height":274,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/b1196ed8-168a-45a9-bd6f-916ada1f7e1a.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 8","dimensions":{"width":1109,"height":274},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/A_-FGSj_KdUmI5Nb-KDwJ-eWda1cOhivUL_aCnoaZT4/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/QS6FbnvwvAaujO-4RRDYUt6DcAFboj9I-2ix323kQJI/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/9sfmgnEbEqg065sZo3rp-8TXPmoGZKUrLHjWVRDTl9I/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/VVtgqFUOxMx8Q84MdgFOfN9ZjqiEjZi171osFpDPu-A/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/EJmMHJK8M1AecNm4gdYu4c_itN_U8e34dl7A81u4ge4/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/aBZ7rIM4b7oYjkP0hnxXblheujmhIkUHUO6r6CPNsvY/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/Jwk6b6opVisjq_UCJWZubYCBH_H76XdUTxDkEds2j7Y/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/NQ2SIpsaGMUTyxS__MBKJS9fwgaeKo4MDGcojkE5WvY/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5L2IxMTk2ZWQ4LTE2OGEtNDVhOS1iZDZmLTkxNmFkYTFmN2UxYS5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"HPaIALex4F","type":"paragraph","data":{"text":"Функции чтения принимают много параметров, так можно настраивать все необходимые опции, включая явное задание типов данных или соответствующих функций-конвертеров. Это позволяет предобработать данные или преобразовать их типы к более эффективным ещё на этапе чтения из источника."}},{"id":"EzaCWO161C","type":"paragraph","data":{"text":"Записать данные в файл так же просто, как и прочитать — используйте семейство методов .to_*(), например, .to_excel():"}},{"id":"_pnE8ShJ8j","type":"code","data":{"code":"titanic.to_excel(\"titanic.xlsx\")","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"j8MbPp_ERw","type":"header3","data":{"text":"Первичное исследование данных","level":3},"tunes":{}},{"id":"tUL9B-E1Ym","type":"paragraph","data":{"text":"После того как данные загружены из источника, следует получить общее представление о них."}},{"id":"S8dyJqelmo","type":"paragraph","data":{"text":"Первые несколько строк датафрейма можно получить с помощью метода .head(), а последние — .tail():"}},{"id":"DPq21gsy5s","type":"code","data":{"code":"titanic.head(5)","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"sCGfKWilZc","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17207,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/f95045e9-b8dd-4cb6-acdb-bc3ab58cb16e.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1222,"height":216,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/f95045e9-b8dd-4cb6-acdb-bc3ab58cb16e.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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Он показывает количество строк, столбцов, их названия и типы, а также позволяет обнаружить столбцы с отсутствующими значениями."}},{"id":"vXWswrEo0e","type":"code","data":{"code":"titanic.info()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"2E4KBeNYsS","type":"image","data":{"alt":"","title":"","caption":"Например, в датасете 891 строка, однако количество ненулевых (non-null) значений в колонках Age, Cabin и Embarked меньше, значит, некоторые данные отсутствуют","file":{"id":17211,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/c63e1088-d94b-46e0-a19d-4e5c8179c06d.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1123,"height":341,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/c63e1088-d94b-46e0-a19d-4e5c8179c06d.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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Для наглядности в дальнейших примерах заменим индекс на колонку с именем пассажира:"}},{"id":"Vgns9INAFG","type":"code","data":{"code":"titanic.set_index(\"Name\", inplace=True) # Производим изменения на месте — inplace","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"3aLdaCTpgX","type":"code","data":{"code":"titanic.head()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"YlpMyKU7Ar","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17216,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/73a1ea10-fc13-4e68-8e4c-cedf1553cdaf.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1240,"height":248,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/73a1ea10-fc13-4e68-8e4c-cedf1553cdaf.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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titanic.index.tolist()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"PU8QyKDvhY","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17536,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/729b0ada-67a2-4be7-9670-1ef36679734e.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":786,"height":302,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/729b0ada-67a2-4be7-9670-1ef36679734e.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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Он позволяет обращаться к данным по меткам:"}},{"id":"ea_RzlxECG","type":"code","data":{"code":"titanic.loc[\"Heikkinen, Miss. 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Laina\", [\"Ticket\", \"Age\"]] # Можно выбрать несколько строк или колонок","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"HNdFn6z7x8","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17224,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/fd955c8b-8002-4e61-910c-aaa802c940ea.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1118,"height":75,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/fd955c8b-8002-4e61-910c-aaa802c940ea.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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Рассмотрим для примера последовательность Series с геометрической прогрессией, где каждый следующий элемент больше предыдущего в два раза:"}},{"id":"OA5xzjO_qV","type":"code","data":{"code":"series = pd.Series(2 ** np.arange(10))\nseries","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"kCN_eLE8EP","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17543,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/45c93d40-d9ad-4002-b5de-52643565bb7b.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":786,"height":214,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/45c93d40-d9ad-4002-b5de-52643565bb7b.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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парами","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"SM7uMQpmjF","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17227,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/9910ea69-a941-49a2-93db-5504ea086e8b.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1118,"height":197,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/9910ea69-a941-49a2-93db-5504ea086e8b.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 28","dimensions":{"width":1118,"height":197},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/9fQo_4jZ_663w3s9eXv7wHUrg72KKDE2cKqlWgYYmCc/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/FeJNi5Mk60JLCv76GM_0g3VY65UVxr4P30tI2pOt4yQ/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/5Iv0oQnURtnhQlHdnG_oFDBMzvhH-8IDCxB1PgRepCg/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/F5UIfcaGrb_VCWZK90HKR9MiHbBfsAZj3eTm_RTonSc/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/HolaVkJHIyWBQ9v0VVnEadwUlyFVBew7tf3hNgf8ZfI/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/M0t7OJvLvuWncLJhCACYO75ca8H0dw17IDS9VAqAHnY/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/jXii6oMnRd22_Lq5B6q-9JDgNRt0Pp-1mJhtRth6nyg/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/rCByG3SjTc8gk6WO0o0Twv43cHYsrdAo98j5YciCNSM/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzk5MTBlYTY5LWE5NDEtNDlhMi05M2RiLTU1MDRlYTA4NmU4Yi5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 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Вот несколько базовых примеров:"}},{"id":"YYpdS2UzDi","type":"code","data":{"code":"df1 = pd.DataFrame({\"key\": [\"A\", \"B\", \"C\", \"D\"], \"value\": [1, 2, 3, 4]})\ndf1","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"nawDtYmcnN","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17544,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/ac9e3aee-80c7-4687-9ba4-cfe828ed092e.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":786,"height":178,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/ac9e3aee-80c7-4687-9ba4-cfe828ed092e.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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полу:"}},{"id":"flIpJ2wz-K","type":"code","data":{"code":"titanic.groupby(\"Sex\").Age.mean()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"GIkrphVLMt","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17546,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/770d1a18-9b39-4f26-9b1f-1df24a858583.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":786,"height":95,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/770d1a18-9b39-4f26-9b1f-1df24a858583.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 34","dimensions":{"width":786,"height":95},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/pmCI2Y3l7noHPuXLX5vaeBwhH9nINpZ1A8Cy_HbQuLk/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/I_UyExovUN9bDKXhkOsXx_AAOHZMa8Y_l4dfO-Ka0uI/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/ZGAqTKg0lkCx5hIGLwrLuO-3-bIXr3pISW5oZkbt_Pk/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/UdbiojuMUVX_JtTgAq_Nv6o5kgH4Rk_9UEkr4KuoCKE/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/_ZQqksNtWMb6HvrFJrZnwLfJ18FXzzrh8D0ZJprlrH8/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/leOcd3_tyOsQE62mqOkNiJ4yCmN_iC0EMl66FzTGzBI/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/Pp0OdvS6KrdseQzFCHTSgPTepxYKgvGsoWTj7zyLymI/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/B9QGqmi7gmaP-3oM_ByC_e9GS-hgB2ywpZtXovZZGu4/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1Lzc3MGQxYTE4LTliMzktNGYyNi05YjFmLTFkZjI0YTg1ODU4My5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 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aggfunc=\"mean\")","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"A1q0qM9rze","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17547,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/6817cd49-09c5-490c-ae1b-2a9b2c85ccae.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":786,"height":146,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/6817cd49-09c5-490c-ae1b-2a9b2c85ccae.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 35","dimensions":{"width":786,"height":146},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/fBoEEaG701NUp9MgHOLUL4IiRXsr0FMcIb4OwMgiwPA/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/1QUMbJCduHUGVbMh1lPV2AK8-XLJXaJcS4CcoxBJR7E/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/FBnie9SqAm7P38lFjGVtUw-jWYGkXeP-IMvN-xENQFg/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/VYGcoQI3M-IRM3F95QnFWWsXABZ-eF_dFQ1DTIwrof8/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/Ge7ABvlV5cbFNdmFHC0JHQKm2ddtnTql-5k6u1ZaSGw/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/K5ZOncCZdKFddE447OXJLKJyJWvpZvRUAQb43aFN69s/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/l7Zjl5SMwOqxTn0Oy_yE15XHDs5RW9SnPVTEi-NLKfg/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/MtR8AQR4kkfGnEyPKee5E4iiaYqJFq8B9jEcLHrry-4/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzY4MTdjZDQ5LTA5YzUtNDkwYy1hZTFiLTJhOWIyYzg1Y2NhZS5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 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помощью Pandas: часть первая 36","dimensions":{"width":786,"height":146},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/GdtTq-Gm40QHwsYC9v03DdDoFn_ZGImqVLsryrjxSwA/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/PwJ66_m8IrZ1y-fpYT6vCXejysdT4jLTHyjW3L2tRKo/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/6cjnRvX2GWe4tewp-d3_jViG5S0BjeQwsGf1prZUnpg/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/qzlvtgefZTGXte8Y1GcE2f1H-fESCBonU7idTDQgarY/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/KJPX0FU-fgbzFsPg_6TQWlfelHtHvSdbnHVUgZS9Grw/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/PiZYLZRko3cWfcUNXs-jsZZzqx3NiZ1uvpw5Ls-HBbU/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/gKvDDcADIDtYhJcZQShjDaudmBUcw3JFQ9RJii0s4K4/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/NXxmGDdYS67L6-sNCEEA45Im5lwkxHjZdSAYrEwLKGs/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzE3ZjEzNDMyLTZkZmUtNGYzMi1hOGFlLWFkYjdjYWFlNTY1Yy5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"tyQdhmhoMK","type":"header3","data":{"text":"Групповые операции","level":3},"tunes":{}},{"id":"FfnE66NhjZ","type":"paragraph","data":{"text":"При обработке данных новички часто используют циклы для итераций по строкам или ячейкам. Такой код выполняется медленно. Лучше использовать методы .apply(), .map(), .transform(), которые работают быстрее за счёт векторизации."}},{"id":"29Oncy3_aQ","type":"code","data":{"code":"# Функция, которая в зависимости от возраста будет возвращать child/adult/senior\ndef categorize_age(age):\n if age < 18:\n return\"child\"\n if age < 60:\n return\"adult\"\n else: \n return \"senior\"\n\n# Создадим новую колонку, применив нашу функцию к существующей\ntitanic[\"Age_category\"] = titanic[\"Age\"].apply(categorize_age)\ntitanic[[\"Age\", \"Age_category\"]].head()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"mFjKJJhmYi","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17234,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/632480b8-9d93-4aa3-846a-3b684d99bc44.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1118,"height":243,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/632480b8-9d93-4aa3-846a-3b684d99bc44.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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В библиотеке Pandas эти пропуски обычно представлены как NaN (Not a Number) в ячейках DataFrame или Series. Чтобы с ними работать можно использовать ключевые методы:"}},{"id":"4FoziyWeQz","type":"list","data":{"style":"unordered","items":[".isna() — идентифицирует отсутствующие значения и возвращает булевую маску, где True указывает на пропущенные данные;",".fillna() — позволяет заполнить отсутствующие значения с помощью указанных значений или методов интерполяции;",".dropna() — удаляет строки или столбцы, содержащие отсутствующие значения."]}},{"id":"8Pnkv4JngH","type":"paragraph","data":{"text":"Метод .isna() есть как у DataFrame, так и у Series, а результатом его вызова будет булевая маска того же класса:"}},{"id":"5x5Em7Nmsk","type":"code","data":{"code":"titanic.isna().head()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"wE2r8V80jt","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17235,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/58cbb99a-ead0-44c7-aeca-ae6b1da07e24.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1367,"height":245,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/58cbb99a-ead0-44c7-aeca-ae6b1da07e24.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 39","dimensions":{"width":1367,"height":245},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/Uoh34Ahvaz6Xed6L93pY013DwknKh1wpbxgIwyOIbxk/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/s3lOLE35gqg0_GL68z4H6EY8MdnGSKylPwc_Pl5jdkc/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/PYRe4pOfikSiz_asgUE3iEt-Pxa0npwubzk0FK6ogeo/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/4mfoMJwEgKIxcCqKaKAZMKAimWleZmlHx_-mzyYajqc/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/TgO9Fd9Oo53i9AHndcvnPTPrnrIk9l6Ma4GnZl9eJyI/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/afNkwEsMeVpY9QvgirfG5N6abg-vECf2tI75gSzw56A/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/lmMCxKi55Uy_bZGoM22DI-dcu9Gp0BwsoC2GNs_BICg/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/EGkK5tqNKYY09B6yZ_LoTV2X6n-Nueb-oNe6KaZjOo4/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzU4Y2JiOTlhLWVhZDAtNDRjNy1hZWNhLWFlNmIxZGEwN2UyNC5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"7ZtXF-GVNd","type":"code","data":{"code":"titanic.loc[titanic.Age.isna()] # Найдём строки, в которых отсутствует возраст пассажира","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"2Aun4irpIj","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17550,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/bc169e6e-1c6f-4c5d-b3e7-0ed9d09349b6.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1333,"height":450,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/bc169e6e-1c6f-4c5d-b3e7-0ed9d09349b6.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 40","dimensions":{"width":1333,"height":450},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/8TCj9VTjMxuSkI8NjlCJHvBom-Z460FLXLvSZhPAZUw/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/TyH6bY6L8i2_SLfAtr1ySpCs0DPdFp4UcaZ25d85448/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/vlZDdduB4GbUn2Vd9kbVtV9uQj0Udkohhjn3dxLbwEI/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/Wb61N0si10ii227DF_OI8d9Hz3H4C-duCzL8g-lKajY/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/cZwYEy4JDcTxL5yfjWCky-4oQlpRMH6g9CzIsd8SiYE/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/iXIJvLsw7dP0YKC-gOeqmmgIHGMB631SyzGpdLXP2c8/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/ao-8MUsj6de4vX6BymVOaMtkYiV5lvCiVz4GRzKI9x4/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/qiQxAJbkCrhCE06ghvfXFy7z_8aVKukHAtEFiZ1hGD0/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1L2JjMTY5ZTZlLTFjNmYtNGM1ZC1iM2U3LTBlZDlkMDkzNDliNi5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"PixLbRtmAa","type":"code","data":{"code":"titanic.dropna(subset=[\"Age\"], inplace=False) # Удалим строки, в которых отсутствует возраст пассажира","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"-uIv7nrQBL","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17551,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/3bc0e608-ff4e-40c7-9fe4-027dc8f83a39.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1368,"height":482,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/3bc0e608-ff4e-40c7-9fe4-027dc8f83a39.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 41","dimensions":{"width":1368,"height":482},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/mb9yoC7AIs1GCTL0F8HXcGDWmRj2W_c1oUQAJ2nx66M/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/tzEbjfYneXjVn7xLyF130BjATCycJ1NT2MYbP2JQpEg/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/20tBT4C0v0kM6S9zc9B9Nf04mUDRXU9tZqb2OG9eEDw/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/GX0mHaF9YrlYYapVWC5kZOXejl31k38OnKW6Hr8gNn0/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/16DQ4NNIfa6zzNA977I2jL-53lbGdIa_RzskyPTZBtU/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/UnRRGsItHYuRIuT3A-hFBY7F7mMkYL6nfPske3laFWY/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/_wsXou5NvBY9kEvdUalinRcyb_ZQ0VgKsro51zPAwV4/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/WxQ0LCipWHPSlmWs-AxDKzrDbHp7SgdjlVNoKG_hx6k/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzNiYzBlNjA4LWZmNGUtNDBjNy05ZmU0LTAyN2RjOGY4M2EzOS5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"v56QnTI6a7","type":"paragraph","data":{"text":"Если датасет небольшой, то удалять отсутствующие данные слишком расточительно. Лучше придумать, как заполнить недостающие значения."}},{"id":"m2qCTN3XBP","type":"paragraph","data":{"text":"Например, можно заменить их средними значениями в столбце:"}},{"id":"fk9F-Q5kt0","type":"code","data":{"code":"titanic.loc[titanic.Age.isna(), \"Age\"] = titanic.Age.mean()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"P1CLePp7cV","type":"paragraph","data":{"text":"Или заполнить предыдущим, либо последующим значением:"}},{"id":"aEn2Fsz4T-","type":"code","data":{"code":"titanic.Age.fillna(method=\"ffill\", inplace=True)","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"f5Iyg8XVUJ","type":"hint","data":{"text":"Методы генерации и заполнения отсутствующих значений называются импутингом. В библиотекеscikit-learnесть модульsklearn.impute, в котором представлены несколько классов импутеров, основанных на различных алгоритмах.","fullWidth":true}},{"id":"11IBzTG_h9","type":"header3","data":{"text":"Визуализация данных","level":3},"tunes":{}},{"id":"xYAYyA59R6","type":"paragraph","data":{"text":"Pandas интегрирована с библиотекой Matplotlib — инструментом для создания двумерных и трёхмерных графических представлений данных. В Pandas можно либо явно использовать её функции для визуализации данных, либо применять встроенные методы, такие как .plot() и .hist(). Второй вариант облегчает построение графиков, автоматически определяя наилучший способ визуализации данных."}},{"id":"8-tthwvx1I","type":"code","data":{"code":"import matplotlib.pyplot as plt\ntitanic.loc[titanic.Sex == \"male\", \"Age\"].hist(bins=10);","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"EKTXkUMFvk","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17236,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/227b7a27-7bfb-483e-be4b-0ff976898e78.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1176,"height":437,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/227b7a27-7bfb-483e-be4b-0ff976898e78.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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человек\");","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"Cg_Ke1dK6g","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17237,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/0786f394-5ca6-49f1-a6f2-570d6a417236.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1176,"height":474,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/0786f394-5ca6-49f1-a6f2-570d6a417236.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 43","dimensions":{"width":1176,"height":474},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/otW-tyANUFwS7TZXQHHbVhyVrtPaN_pKCspytVrpcMU/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/nALvBA4x2mMnGGEoMxMlOyRVJB813sKAbEWrz4AE2AA/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/FvYgSBqgXsW864t69Px120mllhJnOwRMksX5yNTGc3s/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/4Yw01x9NQlpute_iDXc5rLCqyMiX2Zt5zh5XGq4TaTA/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/1QjbnFGNZZOqYPHFDVOj98aIonhIu9FkUl5FJnEFrRU/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/oGDnZ-43sXPAhiUP6vlAbJF9QHDer8zuYY0YnsjAk-k/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/Ogo9nlOuRGdlOWstbw9r6Av9atnbiw3KKiuSunQ8pTA/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/WreY-ZQtHRHqRkfrMECXOPzJVMUx-L-hgpq0YbididU/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5LzA3ODZmMzk0LTVjYTYtNDlmMS1hNmYyLTU3MGQ2YTQxNzIzNi5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 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Сгенерируем эти данные по месяцам:"}},{"id":"1AJCGxD215","type":"code","data":{"code":"# Сгенерируем диапазон дат с частотой 1 месяц\ndate_rng = pd.date_range(start=\"1949-01-01\", end=\"1960-12-01\", freq=\"MS\")\n\n# Создадим соответствующий датафрейм\ndf = pd.DataFrame(date_rng, columns=[\"date\"])\n\n# Случайным образом сгенерируем колонку с числом пассажиров в каждом месяце\ndf[\"passengers\"] = np.random.randint(100, 500, size=len(date_rng))\n\n# Сделаем колонку с датами индексной\ndf.set_index(\"date\", inplace=True)\n\ndf.head()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"QjmbCpg1Ea","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17552,"url":"https://media.tproger.ru/user-uploads/75379/2023-10-05/8c19db75-7e45-4750-b710-6a80b0aea421.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":710,"height":248,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-10-05/8c19db75-7e45-4750-b710-6a80b0aea421.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 44","dimensions":{"width":710,"height":248},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/Xd8Iku9ybqTrqwytdpklTpHgHFNbvUHV4rdwwe9pA6M/rs:fill:710:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":710},{"url":"https://tproger.ru/signed_image/2ar59dHINeFY5LEtVJbOfn6A_7VxaoiCgBSYXekNzKg/rs:fill:1420:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":1420},{"url":"https://tproger.ru/signed_image/OsyuSo4q1bvNxggSayJZfNk2Z2MGWLFCk3I18fsBszQ/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/P-zTxNGhlQZxvg-GwhoVIo6_Upvk7uxkAqPItn3_WvA/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/AQ18a8ebpi6lCEqlKzHl5uxY2cGzJvLc20O8eQ30ubk/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/i72b9FynxRB0w32HZBdrwbM-Ny9LLs7T25W1ZbGcZgo/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/7jXumjy_0BXF9rayG28zUy4fd_AEZu_VsSwnE5PwGyY/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/56E8B4Sly8q22uPNZ_4sNAF5WrIm6B5rIz5yi6xty3Y/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTEwLTA1LzhjMTlkYjc1LTdlNDUtNDc1MC1iNzEwLTZhODBiMGFlYTQyMS5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 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пассажиров\")\nplt.grid(True)\nplt.legend()\nplt.show()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"FhsLnRmr50","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17238,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/a15b759f-2d16-4762-978e-4b0bcfde8f29.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1176,"height":545,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/a15b759f-2d16-4762-978e-4b0bcfde8f29.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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df.rolling(12).mean()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"qjq6kQEPbJ","type":"code","data":{"code":"df_rolled.head(15)","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"DJx9sZkmP9","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17239,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/8967921f-bf00-4f24-b2ee-a6c619064edc.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1176,"height":556,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/8967921f-bf00-4f24-b2ee-a6c619064edc.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 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Это поведение можно изменить, задав параметр min_periods — минимальное количество строк, для которых определён результат:"}},{"id":"Q1zgCFBSWD","type":"code","data":{"code":"df.rolling(12, min_periods=1).mean().head()","language":"python","lineNumbers":false,"startLineNumber":1,"stretched":false}},{"id":"3zemLeQbBD","type":"image","data":{"alt":"","title":"","caption":"","file":{"id":17240,"url":"https://media.tproger.ru/user-uploads/75379/2023-09-29/75c63b26-a5b6-42ba-bb7a-db8f564c3544.png"},"stretched":false,"withBackground":false,"withBorder":false,"width":1057,"height":243,"optimizedFile":{"original":"https://media.tproger.ru/user-uploads/75379/2023-09-29/75c63b26-a5b6-42ba-bb7a-db8f564c3544.png","alt":"Гайд по обработке данных с помощью Pandas: часть первая 47","dimensions":{"width":1057,"height":243},"additionalSizes":{"srcSet":[{"url":"https://tproger.ru/signed_image/BF82dLHGVCGUE3zLQTAs5ijRFHeQEXmtitcexN6AKKM/rs:fill:766:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":766},{"url":"https://tproger.ru/signed_image/hAtprGd57fabxC8GcnUrnvCJnhKyKSTAiIbbImrsY6I/rs:fill:1532:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":1532},{"url":"https://tproger.ru/signed_image/IwDfnLcWoYRsqoSGhO-n8wBf9lI9ERip70cLPPcVf60/rs:fill:686:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":686},{"url":"https://tproger.ru/signed_image/6UhJPBQzvEkO49ebYVymasQMdZxzTpP2tqJzD16vNUk/rs:fill:1372:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":1372},{"url":"https://tproger.ru/signed_image/Lxu7YEOJOrl5LHxB1AjllRXkMUMGv6kHq0xtrn9ook8/rs:fill:636:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":636},{"url":"https://tproger.ru/signed_image/K4re0BEa7LzYLeplHF34yCUsvIv_uP8KHNUWKGz4iz8/rs:fill:1272:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":1272},{"url":"https://tproger.ru/signed_image/no_zWYdiqMRg5PnmJdFLE4rfRZSOHZyaY-Xo7ibxm_M/rs:fill:466:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":466},{"url":"https://tproger.ru/signed_image/g2eU86r1LlMLEJjudqxhyxYbcQYwe7XU0l2yFS2EQyI/rs:fill:932:0:true/cb:vimg_2/f:webp/aHR0cHM6Ly9tZWRpYS50cHJvZ2VyLnJ1L3VzZXItdXBsb2Fkcy83NTM3OS8yMDIzLTA5LTI5Lzc1YzYzYjI2LWE1YjYtNDJiYS1iYjdhLWRiOGY1NjRjMzU0NC5wbmc","dpr":1,"width":932}],"sizes":[{"media":"(min-width: 1441px)","size":"766px"},{"media":"(min-width: 1281px)","size":"686px"},{"media":"(min-width: 1281px)","size":"766px"},{"media":"(min-width: 961px)","size":"766px"},{"media":"(min-width: 671px)","size":"636px"},{"media":"(min-width: 500px)","size":"466px"}]}}}},{"id":"qZullMte6i","type":"header2","data":{"text":"В заключение","level":2},"tunes":{}},{"id":"7PVpmvhoYO","type":"paragraph","data":{"text":"В этой части статьи мы рассмотрели, как использовать Pandas для разных базовых задач. Во второй части разберём, как сделать работу с Pandas эффективнее, узнаем, какие есть альтернативы для этой библиотеки и какие источники можно почитать, чтобы ещё лучше в ней ориентироваться. Следите за обновлениями!"}}],"version":"2.25.0"}

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